A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints.
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| Title: | A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints. |
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| Authors: | Owen MA; Center for Methods in Implementation and Prevention Science, Yale University, New Haven, CT, USA., Li F; Center for Methods in Implementation and Prevention Science, Yale University, New Haven, CT, USA., Liu R; Center for Methods in Implementation and Prevention Science, Yale University, New Haven, CT, USA., Spiegelman D; Center for Methods in Implementation and Prevention Science, Yale University, New Haven, CT, USA. |
| Source: | Statistical methods in medical research [Stat Methods Med Res] 2026 Jul; Vol. 35 (7), pp. 1493-1517. Date of Electronic Publication: 2026 Jun 23. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42337853 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Owen+MA%22">Owen MA</searchLink>; Center for Methods in Implementation and Prevention Science, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Li+F%22">Li F</searchLink>; Center for Methods in Implementation and Prevention Science, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Liu+R%22">Liu R</searchLink>; Center for Methods in Implementation and Prevention Science, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Spiegelman+D%22">Spiegelman D</searchLink>; Center for Methods in Implementation and Prevention Science, Yale University, New Haven, CT, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229212457%22">Statistical methods in medical research</searchLink> [Stat Methods Med Res] 2026 Jul; Vol. 35 (7), pp. 1493-1517. <i>Date of Electronic Publication: </i>2026 Jun 23. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications%22">SAGE Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9212457 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1477-0334 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209622802%22">09622802 </searchLink><i>NLM ISO Abbreviation: </i>Stat Methods Med Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42337853 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/09622802261457277 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1493 Titles: – TitleFull: A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Owen MA – PersonEntity: Name: NameFull: Li F – PersonEntity: Name: NameFull: Liu R – PersonEntity: Name: NameFull: Spiegelman D IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1477-0334 Numbering: – Type: volume Value: 35 – Type: issue Value: 7 Titles: – TitleFull: Statistical methods in medical research Type: main |
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